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Pinar O, Rodríguez-Couto S. Advancements in bilge wastewater treatment: A review for current and future trends. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175587. [PMID: 39159695 DOI: 10.1016/j.scitotenv.2024.175587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/14/2024] [Accepted: 08/15/2024] [Indexed: 08/21/2024]
Abstract
Bilge wastewater (BW) from ships poses a significant threat to coastal ecosystems due to its recalcitrant nature. BW is mainly composed of organic hydrocarbons and oils together with surfactants, heavy metals, and other organic compounds but oil is the sole compound regulated by international law with a discharge limit of 15 mg/L. Therefore, BW treatment is a crucial aspect of marine pollution control and environmental protection. In this sense, BW must be treated on board or shipped to treatment plants on land. While conventional methods like gravity separation and adsorption have been used to treat BW, their inability to effectively treat complex mixtures has encouraged researchers to investigate advanced alternatives. Thus, new, cost-efficient, and sustainable technologies to treat BW are required such as those based on biological approaches. Moreover, integrating bio-based methods with existing technologies can provide comprehensive and eco-friendly treatment solutions. This review compiles various documents published regarding the treatment of BW, pointing out the necessity of developing new cost-efficient and environmentally friendly approaches to treat it. To the best knowledge of the authors this is the first comprehensive review on this very latest topic. Therefore, this review will be a significant contribution to the literature in terms of conservation of the environment, reduction in water pollution, and protection of the marine ecosystems.
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Affiliation(s)
- Orkun Pinar
- Department of Separation Science, LUT School of Engineering Science, LUT University, Sammonkatu 12, 50130 Mikkeli, Finland.
| | - Susana Rodríguez-Couto
- Department of Separation Science, LUT School of Engineering Science, LUT University, Sammonkatu 12, 50130 Mikkeli, Finland
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Lee WH, Park CY, Diaz D, Rodriguez KL, Chung J, Church J, Willner MR, Lundin JG, Paynter DM. Predicting bilgewater emulsion stability by oil separation using image processing and machine learning. WATER RESEARCH 2022; 223:118977. [PMID: 35988334 DOI: 10.1016/j.watres.2022.118977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/18/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Bilgewater is a shipboard multi-component oily wastewater, combining numerous wastewater sources. A better understanding of bilgewater emulsions is required for proper wastewater management to meet discharge regulations. In this study, we developed 360 emulsion samples based on commonly used Navy cleaner data and previous bilgewater composition studies. Oil value (OV) was obtained from image analysis of oil/creaming layer and validated by oil separation (OS) which was experimentally determined using a gravimetric method. OV (%) showed good agreement with OS (%), indicating that a simple image-based parameter can be used for emulsion stability prediction model development. An ANOVA analysis was conducted of the five variables (Cleaner, Salinity, Suspended Solids [SS], pH, and Temperature) that significantly impacted estimates of OV, finding that the Cleaner, Salinity, and SS variables were statistically significant (p < 0.05), while pH and Temperature were not. In general, most cleaners showed improved oil separation with salt additions. Novel machine learning (ML)-based predictive models of both classification and regression for bilgewater emulsion stability were then developed using OV. For classification, the random forest (RF) classifiers achieved the most accurate prediction with F1-score of 0.8224, while in regression-based models the decision tree (DT) regressor showed the highest prediction of emulsion stability with the average mean absolute error (MAE) of 0.1611. Turbidity also showed a good emulsion prediction with RF regressor (MAE of 0.0559) and RF classifier (F1-score of 0.9338). One predictor variable removal test showed that Salinity, SS, and Temperature are the most impactful variables in the developed models. This is the first study to use image processing and machine learning for the prediction of oil separation for the application of bilgewater assessment within the marine sector.
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Affiliation(s)
- Woo Hyoung Lee
- Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, United States.
| | - Cheol Young Park
- Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, United States
| | - Daniela Diaz
- Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, United States
| | - Kelsey L Rodriguez
- Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, United States
| | - Jongik Chung
- Department of Statistics and Data Science, University of Central Florida, Orlando, FL 32816-2370, United States
| | - Jared Church
- Environmental Engineering, Science, and Technology Branch, Naval Surface Warfare Center, Carderock Division, West Bethesda, MD, United States
| | - Marjorie R Willner
- Environmental Engineering, Science, and Technology Branch, Naval Surface Warfare Center, Carderock Division, West Bethesda, MD, United States
| | - Jeffrey G Lundin
- Chemistry Division, United States Naval Research Laboratory, Washington, D.C., United States
| | - Danielle M Paynter
- Environmental Engineering, Science, and Technology Branch, Naval Surface Warfare Center, Carderock Division, West Bethesda, MD, United States
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Hwang JH, Fahad S, Ryu H, Rodriguez KL, Domingo JS, Kushima A, Lee WH. Recycling urine for bioelectrochemical hydrogen production using a MoS 2 nano carbon coated electrode in a microbial electrolysis cell. JOURNAL OF POWER SOURCES 2022; 527:1-11. [PMID: 35582347 PMCID: PMC9109132 DOI: 10.1016/j.jpowsour.2022.231209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this study, a novel molybdenum disulfide (MoS2) nano-carbon (NC) coated cathode was developed for hydrogen production in a microbial electrolysis cell (MEC), while treating simulated urine with 2-6 times dilution (conductivity <20 mS cm-1). MoS2 nanoparticles were electrodeposited on the NC coated cathodes at -100, -150 and -200 μA cm-2 and their performances were evaluated in the MEC. The chronopotentiometry (CP) tests showed the improved catalytic activity of MoS2-NC cathodes with much lower cathode overpotential than non-MoS2 coated electrodes. The MoS2-NC200 cathode, electrodeposited at -200 μA cm-2, showed the maximum hydrogen production rate of 0.152 ± 0.002 m3 H2 m-2 d-1 at 0.9V of Eap, which is comparable to the previously reported Pt electrodes. It was found that high solution conductivity over 20 mS cm-1 (>600 mg L-1 NH3-N) can adversely affect the biofilm architecture and the bacterial activity at the anode of the MEC. Exoelectrogenic bacteria for this system at the anode were identified as Tissierella (Clostridia) and Bacteroidetes taxa. Maximum ammonia-nitrogen (NH3-N) and phosphorus (PO4 3--P) removal were 68.7 and 98.6%, respectively. This study showed that the newly fabricated MoS2-NC cathode can be a cost-effective alternative to the Pt cathode for renewable bioelectrochemical hydrogen production from urine.
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Affiliation(s)
- Jae-Hoon Hwang
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA
| | - Saisaban Fahad
- Department of Materials Science and Engineering, University of Central Florida, Orlando, FL, 32816, USA
| | - Hodon Ryu
- United States Environmental Protection Agency, Office of Research and Development, 26 W. Martin Luther King Drive, Cincinnati, OH, 45268, USA
| | - Kelsey L. Rodriguez
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA
| | - Jorge Santo Domingo
- United States Environmental Protection Agency, Office of Research and Development, 26 W. Martin Luther King Drive, Cincinnati, OH, 45268, USA
| | - Akihiro Kushima
- Department of Materials Science and Engineering, University of Central Florida, Orlando, FL, 32816, USA
- Advanced Materials Processing and Analysis Center, and NanoScience Technology Center, University of Central Florida, Orlando, FL, 32816, USA
| | - Woo Hyoung Lee
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, 32816, USA
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Khan MJ, Singh N, Mishra S, Ahirwar A, Bast F, Varjani S, Schoefs B, Marchand J, Rajendran K, Banu JR, Saratale GD, Saratale RG, Vinayak V. Impact of light on microalgal photosynthetic microbial fuel cells and removal of pollutants by nanoadsorbent biopolymers: Updates, challenges and innovations. CHEMOSPHERE 2022; 288:132589. [PMID: 34678344 DOI: 10.1016/j.chemosphere.2021.132589] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/09/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
Photosynthetic microbial fuel cells (PMFCs) with microalgae have huge potential for treating wastewater while simultaneously converting light energy into electrical energy. The efficiency of such cells directly depends on algal growth, which depends on light intensity. Higher light intensity results in increased potential as well as enhancement in generation of biomass rich in biopolymers. Such biopolymers are produced either by microbes at anode and algae at cathode or vice versa. The biopolymers recovered from these biological sources can be added in wastewater alone or in combination with nanomaterials to act as nanoadsorbents. These nanoadsorbents further increase the efficiency of PMFC by removing the pollutants like metals and dyes. In this review firstly the effect of different light intensities on the growth of microalgae, importance of diatoms in a PMFC and their impact on PMFCs efficiencies have been narrated. Secondly recovery of biopolymers from different biological sources and their role in removal of metals, dyes along with their impact on circular bioeconomy have been discussed. Thereafter bottlenecks and future perspectives in this field of research have been narrated.
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Affiliation(s)
- Mohd Jahir Khan
- Diatom Nanoengineering and Metabolism Laboratory (DNM), School of Applied Science, Dr. HarisinghGour Central University, Sagar, MP, 470003, India
| | - Nikhil Singh
- Diatom Nanoengineering and Metabolism Laboratory (DNM), School of Applied Science, Dr. HarisinghGour Central University, Sagar, MP, 470003, India
| | - Sudhanshu Mishra
- Diatom Nanoengineering and Metabolism Laboratory (DNM), School of Applied Science, Dr. HarisinghGour Central University, Sagar, MP, 470003, India
| | - Ankesh Ahirwar
- Diatom Nanoengineering and Metabolism Laboratory (DNM), School of Applied Science, Dr. HarisinghGour Central University, Sagar, MP, 470003, India
| | - Felix Bast
- Department of Botany, Central University of Punjab, Ghudda-VPO, Bathinda, 151401, Punjab, 151001, India
| | - Sunita Varjani
- Gujarat Pollution Control Board, Gandhinagar, Gujarat, 382010, India.
| | - Benoit Schoefs
- Metabolism, Bioengineering of Microalgal Metabolism and Applications (MIMMA), Mer Molecules Santé, Le Mans University, IUML - FR 3473 CNRS, Le Mans, France
| | - Justine Marchand
- Metabolism, Bioengineering of Microalgal Metabolism and Applications (MIMMA), Mer Molecules Santé, Le Mans University, IUML - FR 3473 CNRS, Le Mans, France
| | - Karthik Rajendran
- Department of Environmental Science, SRM University-AP, Neerukonda, Andhra Pradesh, India
| | - J Rajesh Banu
- Department of Life Science, Central University of Tamilnadu, Thiruvar, 610005, India
| | - Ganesh Dattatraya Saratale
- Department of Food Science and Biotechnology, Dongguk University-Seoul, Ilsandong-gu, Goyang-si, Gyeonggido, 10326, Republic of Korea
| | - Rijuta Ganesh Saratale
- Research Institute of Biotechnology and Medical Converged Science, Dongguk University-Seoul, Ilsandong-gu, Goyang-si, Gyeonggido, 10326, Republic of Korea
| | - Vandana Vinayak
- Diatom Nanoengineering and Metabolism Laboratory (DNM), School of Applied Science, Dr. HarisinghGour Central University, Sagar, MP, 470003, India.
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Hong T, Liu X, Zhou Q, Liu Y, Guo J, Zhou W, Tan S, Cai Z. What the Microscale Systems "See" In Biological Assemblies: Cells and Viruses? Anal Chem 2021; 94:59-74. [PMID: 34812604 DOI: 10.1021/acs.analchem.1c04244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Tingting Hong
- School of Pharmacy, Changzhou University, Changzhou, Jiangsu 213164, China
| | - Xing Liu
- School of Pharmacy, Changzhou University, Changzhou, Jiangsu 213164, China
| | - Qi Zhou
- School of Pharmacy, Changzhou University, Changzhou, Jiangsu 213164, China
| | - Yilian Liu
- School of Pharmacy, Changzhou University, Changzhou, Jiangsu 213164, China
| | - Jing Guo
- School of Pharmacy, Changzhou University, Changzhou, Jiangsu 213164, China
| | - Wenhu Zhou
- Xiangya School of Pharmaceutical Sciences, Central South University, 172 Tongzipo Road, Changsha, Hunan 410013, China
| | - Songwen Tan
- Xiangya School of Pharmaceutical Sciences, Central South University, 172 Tongzipo Road, Changsha, Hunan 410013, China.,Jiangsu Dawning Pharmaceutical Co., Ltd., Changzhou, Jiangsu 213100, China
| | - Zhiqiang Cai
- School of Pharmacy, Changzhou University, Changzhou, Jiangsu 213164, China.,Jiangsu Dawning Pharmaceutical Co., Ltd., Changzhou, Jiangsu 213100, China
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